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Event‐based Dynamic Graph Drawing without the Agonizing Pain

A. Arleo Orcid Logo, S. Miksch Orcid Logo, Daniel Archambault Orcid Logo

Computer Graphics Forum, Volume: 41, Issue: 6, Pages: 226 - 244

Swansea University Author: Daniel Archambault Orcid Logo

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DOI (Published version): 10.1111/cgf.14615

Abstract

Temporal networks can naturally model real-world complex phenomena such as contact networks, information dissemination and physical proximity. However, nodes and edges bear real-time coordinates, making it difficult to organize them into discrete timeslices, without a loss of temporal information du...

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Published in: Computer Graphics Forum
ISSN: 0167-7055 1467-8659
Published: Wiley 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60330
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first_indexed 2022-06-28T10:06:19Z
last_indexed 2023-01-13T19:20:23Z
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spelling v2 60330 2022-06-28 Event‐based Dynamic Graph Drawing without the Agonizing Pain 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2022-06-28 SCS Temporal networks can naturally model real-world complex phenomena such as contact networks, information dissemination and physical proximity. However, nodes and edges bear real-time coordinates, making it difficult to organize them into discrete timeslices, without a loss of temporal information due to projection. Event-based dynamic graph drawing rejects the notion of a timeslice and allows each node and edge to retain its own real-valued time coordinate. While existing work has demonstrated clear advantages for this approach, they come at a running time cost. We investigate the problem of accelerating event-based layout to make it more competitive with existing layout techniques. In this paper, we describe the design, implementation and experimental evaluation of MultiDynNoS, the first multi-level event-based graph layout algorithm. We consider three operators for coarsening and placement, inspired by Walshaw, GRIP and FM3, which we couple with an event-based graph drawing algorithm. We also propose two extensions to the core algorithm: AutoTau and Bend Transfer. We perform two experiments: first, we compare MultiDynNoS variants to existing state-of-the-art dynamic graph layout approaches; second, we investigate the impact of each of the proposed algorithm extensions. MultiDynNoS proves to be competitive with existing approaches, and the proposed extensions achieve their design goals and contribute in opening new research directions. Journal Article Computer Graphics Forum 41 6 226 244 Wiley 0167-7055 1467-8659 Visualization, Graph Drawing, Temporal Networks 1 9 2022 2022-09-01 10.1111/cgf.14615 http://dx.doi.org/10.1111/cgf.14615 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University Other The authors acknowledge TU Wien Bibliothek for financial supportthrough its Open Access Funding Programme. 2023-05-22T15:18:44.3605675 2022-06-28T10:58:38.7263121 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science A. Arleo 0000-0003-2008-3651 1 S. Miksch 0000-0003-4427-5703 2 Daniel Archambault 0000-0003-4978-8479 3 60330__25237__b468c6b2b118416ca373d33decde6423.pdf 60330_VoR.pdf 2022-09-27T13:37:49.7415660 Output 2014767 application/pdf Version of Record true © 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/
title Event‐based Dynamic Graph Drawing without the Agonizing Pain
spellingShingle Event‐based Dynamic Graph Drawing without the Agonizing Pain
Daniel Archambault
title_short Event‐based Dynamic Graph Drawing without the Agonizing Pain
title_full Event‐based Dynamic Graph Drawing without the Agonizing Pain
title_fullStr Event‐based Dynamic Graph Drawing without the Agonizing Pain
title_full_unstemmed Event‐based Dynamic Graph Drawing without the Agonizing Pain
title_sort Event‐based Dynamic Graph Drawing without the Agonizing Pain
author_id_str_mv 8fa6987716a22304ef04d3c3d50ef266
author_id_fullname_str_mv 8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Daniel Archambault
author2 A. Arleo
S. Miksch
Daniel Archambault
format Journal article
container_title Computer Graphics Forum
container_volume 41
container_issue 6
container_start_page 226
publishDate 2022
institution Swansea University
issn 0167-7055
1467-8659
doi_str_mv 10.1111/cgf.14615
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.1111/cgf.14615
document_store_str 1
active_str 0
description Temporal networks can naturally model real-world complex phenomena such as contact networks, information dissemination and physical proximity. However, nodes and edges bear real-time coordinates, making it difficult to organize them into discrete timeslices, without a loss of temporal information due to projection. Event-based dynamic graph drawing rejects the notion of a timeslice and allows each node and edge to retain its own real-valued time coordinate. While existing work has demonstrated clear advantages for this approach, they come at a running time cost. We investigate the problem of accelerating event-based layout to make it more competitive with existing layout techniques. In this paper, we describe the design, implementation and experimental evaluation of MultiDynNoS, the first multi-level event-based graph layout algorithm. We consider three operators for coarsening and placement, inspired by Walshaw, GRIP and FM3, which we couple with an event-based graph drawing algorithm. We also propose two extensions to the core algorithm: AutoTau and Bend Transfer. We perform two experiments: first, we compare MultiDynNoS variants to existing state-of-the-art dynamic graph layout approaches; second, we investigate the impact of each of the proposed algorithm extensions. MultiDynNoS proves to be competitive with existing approaches, and the proposed extensions achieve their design goals and contribute in opening new research directions.
published_date 2022-09-01T15:18:42Z
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